Sinkala Yona, Simuunza Martin, Muma John B, Pfeiffer Dirk U, Kasanga Christopher J, Mweene Aaron
Department of Disease Control, University of Zambia and Ministry of Agriculture and Livestock, Zambia.
Onderstepoort J Vet Res. 2014 Apr 23;81(2):E1-6. doi: 10.4102/ojvr.v81i2.741.
Zambia has been experiencing low livestock productivity as well as trade restrictions owing to the occurrence of foot and mouth disease (FMD), but little is known about the epidemiology of the disease in these endemic settings. The fundamental questions relate to the spatio-temporal distribution of FMD cases and what determines their occurrence. A retrospective review of FMD cases in Zambia from 1981 to 2012 was conducted using geographical information systems and the SaTScan software package. Information was collected from peer-reviewed journal articles, conference proceedings, laboratory reports, unpublished scientific reports and grey literature. A space-time permutation probability model using a varying time window of one year was used to scan for areas with high infection rates. The spatial scan statistic detected a significant purely spatial cluster around the Mbala-Isoka area between 2009 and 2012, with secondary clusters in Sesheke-Kazungula in 2007 and 2008, the Kafue flats in 2004 and 2005 and Livingstone in 2012. This study provides evidence of the existence of statistically significant FMD clusters and an increase in occurrence in Zambia between 2004 and 2012. The identified clusters agree with areas known to be at high risk of FMD. The FMD virus transmission dynamics and the heterogeneous variability in risk within these locations may need further investigation.
由于口蹄疫(FMD)的发生,赞比亚一直面临着家畜生产力低下以及贸易限制的问题,但对于这种疾病在这些地方病流行地区的流行病学情况却知之甚少。基本问题涉及口蹄疫病例的时空分布以及决定其发生的因素。利用地理信息系统和SaTScan软件包,对赞比亚1981年至2012年的口蹄疫病例进行了回顾性研究。信息收集自同行评审的期刊文章、会议论文、实验室报告、未发表的科学报告和灰色文献。使用一个可变时间窗口为一年的时空排列概率模型来扫描感染率高的地区。空间扫描统计在2009年至2012年期间检测到姆巴拉 - 伊索卡地区周围存在一个显著的纯空间聚集区,2007年和2008年在塞舍凯 - 卡宗古拉有次级聚集区,2004年和2005年在卡富埃平原以及2012年在利文斯通有次级聚集区。这项研究提供了赞比亚存在具有统计学意义的口蹄疫聚集区以及2004年至2012年期间发病率上升的证据。所确定的聚集区与已知口蹄疫高风险地区相符。这些地区内口蹄疫病毒的传播动态以及风险的异质性变化可能需要进一步研究。